Instructions to use jayclifford345/vibration-autoencoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jayclifford345/vibration-autoencoder with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://jayclifford345/vibration-autoencoder") - Notebooks
- Google Colab
- Kaggle
Download keras_metadata.pb from jayclifford345/vibration-autoencoder: direct link, hf CLI and curl.
- Browser
- Download file 26.2 kB
-
https://huggingface.co/jayclifford345/vibration-autoencoder/resolve/main/keras_metadata.pb
- Command line
-
hf download hf://jayclifford345/vibration-autoencoder/keras_metadata.pb
-
curl -L -o keras_metadata.pb https://huggingface.co/jayclifford345/vibration-autoencoder/resolve/main/keras_metadata.pb
26.2 kB
- Xet hash:
- b149bf8c8c24931f56d1f7677d05b02a78826f4ac9b6d61b0439991570b424f3
- Size of remote file:
- 26.2 kB
- SHA256:
- 02bd43e625d3a077b0454b9abab91d222c21d38e0510b307e07bdba12b85bf74
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